On 3/20/07, rooftop8000 <[EMAIL PROTECTED]> wrote:
Hi, I've been thinking for a bit about how a big collaboration AI project
could work. I browsed the archives and i see you guys have similar
ideas....
I'd love to see someone build a system that is capable of adding any
kind of AI algorithm/idea to. It should unite the power of all existing
different flavors: neural nets, logical systems, etc
[...]
But you could always allow people to make their own critics (modules)
in any way, as long as they are executable. So people can still use there
preferred way of doing things and contribute.
Singh described a central hierarchy of critics, but it will be probably
be better to distribute it somehow, so different people can run their
own hierarchy and communicate results over the web to other
people (connecting different hierarchies into a big one)
They can also fine-tune things (spend cpu-time on what they find
interesting) and maybe locally test out their own critics.
This can scale very well. People can offer their own modules
for people to run and reflective critics will probably be designed that
favor
the most useful modules.
Singh uses 1 type of representation for communication between all
the modules. This isn't really necessary, you can use any data structure
for
critic to critic communication. But you'll need to make flexible ones for
the critics you code, or people won't collaborate.
Do you guys think all this makes sense? Are there any previous
collaboration
attempts like this that i should be aware of?
Thanks
Just one big question: are you way *overestimating* the number of people
who could contribute such modules? Is your idea like, people contributing
modules for face-recognition, fruit-recognition, license-plate recognition,
etc, etc, and you join these modules together? What mechanism do you have
to ensure that you would end up with a system that can recognize *all*
things?
It seems that you're taking the idea of online collaboration too far.
(Please correct me if I've mistaken your position...)
YKY
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